I am an experienced Data Science and Engineering leader with technical expertise in machine-learning and ML/analytics pipelines; system modeling using deep-learning, probabilistic Bayesian inference, and simulation; and IoT/time-series forecasting, with domain experience across IoT, transportation/logistics, agricultural and geospatial domains. I hold a Ph.D. in Ocean Physics from Columbia University and currently work at Bowery Farming leading the Data Platform, Data Analytics, and Data Algorithms (ML and computer vision, optimization) teams.
My professional experience spans industry and academia, with common threads around robust statistical modeling, ocean/weather/climate system modeling, and the development of novel analytical approaches that often leverage data synthesis across domains. I additionally have experience developing robust, scalable, and observable data-transformation and model-training pipelines.
Drawing on my background as an educator, I strive for clear communication, statistically- and physically- supported models and analyses, and growing and coaching high-performing data teams.